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FOFORVIA HELLA

Internship/master's Thesis: Radar-based Perception For Autonomous Driving With Deep Learning(m/w/x)

Lippstadt
Full-timeInternshipOn-site
AI/ML
Data Science

Implementing and comparing open-source perception frameworks for vehicle electronics, training neural networks with sensor data. Master's program in CS/EE with ML/DL focus, solid Python programming, and PyTorch familiarity required. Master's thesis opportunity, practical application of deep learning in vehicle electronics.

Requirements

  • Enrolled university student, not yet completed final examination
  • Study in computer science, electrical engineering, or comparable master's program with machine learning/deep learning focus
  • Solid programming skills in Python
  • Familiarity with PyTorch (ideally demonstrated via practical project experience/GitHub)
  • Strong knowledge of deep learning and computer vision
  • Experience in multi-sensor fusion, diffusion models, or scene flow (ideally)
  • Very good German or English language skills (at least C1 in one, B2 in other)

Tasks

  • Research perception methods using RADAR, LiDAR, and cameras
  • Implement and compare open-source perception frameworks
  • Train neural networks and analyze results
  • Document work throughout the implementation phase
  • Present results after internship or thesis

Education

  • Currently in higher education

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • GitHub
  • Deep Learning
  • Computer Vision
  • Multi-sensor fusion
  • Diffusion models
  • Scene flow
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